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Data Descriptor

IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements

1
Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, UK
2
Biotechnology Research Center, Tripoli TIP3644, Libya
3
International Halal and Fatwa Center, Universiti Sains Islam, Nilai 71800, Malaysia
4
Faculty of Science and Technology, Universiti Sains Islam, Nilai 71800, Malaysia
5
Information System Study Program, Universitas Airlangga, Indonesia Kampus C, Surabaya, Jawa Timur 60115, Indonesia
6
Perkeso Rehabilitation Centre, Bemban, Melaka 75450, Malaysia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Submission received: 24 March 2021 / Revised: 25 April 2021 / Accepted: 27 April 2021 / Published: 30 April 2021

Abstract

In this article, we present a dataset that comprises different physical rehabilitation movements. The dataset was captured as part of a research project intended to provide automatic feedback on the execution of rehabilitation exercises, even in the absence of a physiotherapist. A Kinect motion sensor camera was used to record gestures. The dataset contains repetitions of nine gestures performed by 29 subjects, out of which 15 were patients and 14 were healthy controls. The data are presented in an easily accessible format, provided as 3D coordinates of 25 body joints along with the corresponding depth map for each frame. Each movement was annotated with the gesture type, the position of the person performing the gesture (sitting or standing) as well as a correctness label. The data are publicly available and were released with to provide a comprehensive dataset that can be used for assessing the performance of different patients while performing simple movements in a rehabilitation setting and for comparing these movements with a control group of healthy individuals.
Keywords: movement dataset; human gesture dataset; physical rehabilitation; motion capturing; physical therapy exercises movement dataset; human gesture dataset; physical rehabilitation; motion capturing; physical therapy exercises

Share and Cite

MDPI and ACS Style

Miron, A.; Sadawi, N.; Ismail, W.; Hussain, H.; Grosan, C. IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements. Data 2021, 6, 46. https://doi.org/10.3390/data6050046

AMA Style

Miron A, Sadawi N, Ismail W, Hussain H, Grosan C. IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements. Data. 2021; 6(5):46. https://doi.org/10.3390/data6050046

Chicago/Turabian Style

Miron, Alina, Noureddin Sadawi, Waidah Ismail, Hafez Hussain, and Crina Grosan. 2021. "IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements" Data 6, no. 5: 46. https://doi.org/10.3390/data6050046

APA Style

Miron, A., Sadawi, N., Ismail, W., Hussain, H., & Grosan, C. (2021). IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements. Data, 6(5), 46. https://doi.org/10.3390/data6050046

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